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Volume 13
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10.3390/atmos13010026
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Article

The Modeling Study about Impacts of Emission Control Policies for Chinese 14th Five-Year Plan on PM2.5 and O3 in Yangtze River Delta, China

by
Zhen Li
1,
Shaocai Yu
1,2,*,
Mengying Li
1,
Xue Chen
1,
Yibo Zhang
1,
Zhe Song
1,
Jiali Li
1,
Yaping Jiang
1,
Weiping Liu
1,
Pengfei Li
3,* and
Xiaoye Zhang
1,4
1
Research Center for Air Pollution and Health, Key Laboratory of Environmental Remediation and Ecological Health, Ministry of Education, College of Environment and Resource Sciences, Zhejiang University, Hangzhou 310058, China
2
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
3
College of Science and Technology, Hebei Agricultural University, Baoding 071001, China
4
State Key Laboratory of Severe Weather/Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences, Beijing 100081, China
*
Authors to whom correspondence should be addressed.
Atmosphere 2022, 13(1), 26; https://doi.org/10.3390/atmos13010026
Submission received: 30 November 2021 / Revised: 20 December 2021 / Accepted: 22 December 2021 / Published: 25 December 2021
(This article belongs to the Special Issue Photochemical Air Pollution in Urban Regions)
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Abstract

The Chinese government has made great efforts to combat air pollution through the reductions in SO2, NOx and VOCs emissions, as part of its socioeconomic Five-Year Plans (FYPs). China aims to further reduce the emissions of VOCs and NOx by 10% in its upcoming 14th FYP (2021–2025). Here, we used a regional chemical transport model (e.g., WRF/CMAQ) to examine the responses of PM2.5 and O3 to emission control policies of the 14th FYP in the Yangtze River Delta (YRD) region. The simulation results under the 4 emission control scenarios in the 2 winter months in 2025 indicate that the average concentrations of city mean PM2.5 in 41 cities in the YRD were predicted to only decrease by 10% under both S1 and S1_E scenarios, whereas the enhanced emission control scenarios (i.e., S2_E and S3_E) could reduce PM2.5 in each city by more than 20%. The model simulation results for O3 in the 3 summer months in 2025 show that the O3 responses to the emission controls under the S1 and S1_E scenarios show different control effects on O3 concentrations in the YRD with the increase and decrease effects, respectively. The study found that both enhanced emission control scenarios (S2_E and S3_E) could decrease O3 in each city by more than 20% with more reductions in O3 under the S3_E emission control scenario because of its higher control strengths for both NOx and VOCs emissions. It was found that emission reduction policies for controlling high emission sectors of NOx and VOCs such as S2_E and S3_E were more effective for decreasing both PM2.5 and O3 in the YRD. This study shows that O3 controls will benefit from well-designed air pollution control strategies for reasonable control ratios of NOx and VOCs emissions.
Keywords: five-year-plan; emission control policy; Yangtze River Delta five-year-plan; emission control policy; Yangtze River Delta

Share and Cite

MDPI and ACS Style

Li, Z.; Yu, S.; Li, M.; Chen, X.; Zhang, Y.; Song, Z.; Li, J.; Jiang, Y.; Liu, W.; Li, P.; et al. The Modeling Study about Impacts of Emission Control Policies for Chinese 14th Five-Year Plan on PM2.5 and O3 in Yangtze River Delta, China. Atmosphere 2022, 13, 26. https://doi.org/10.3390/atmos13010026

AMA Style

Li Z, Yu S, Li M, Chen X, Zhang Y, Song Z, Li J, Jiang Y, Liu W, Li P, et al. The Modeling Study about Impacts of Emission Control Policies for Chinese 14th Five-Year Plan on PM2.5 and O3 in Yangtze River Delta, China. Atmosphere. 2022; 13(1):26. https://doi.org/10.3390/atmos13010026

Chicago/Turabian Style

Li, Zhen, Shaocai Yu, Mengying Li, Xue Chen, Yibo Zhang, Zhe Song, Jiali Li, Yaping Jiang, Weiping Liu, Pengfei Li, and et al. 2022. "The Modeling Study about Impacts of Emission Control Policies for Chinese 14th Five-Year Plan on PM2.5 and O3 in Yangtze River Delta, China" Atmosphere 13, no. 1: 26. https://doi.org/10.3390/atmos13010026

APA Style

Li, Z., Yu, S., Li, M., Chen, X., Zhang, Y., Song, Z., Li, J., Jiang, Y., Liu, W., Li, P., & Zhang, X. (2022). The Modeling Study about Impacts of Emission Control Policies for Chinese 14th Five-Year Plan on PM2.5 and O3 in Yangtze River Delta, China. Atmosphere, 13(1), 26. https://doi.org/10.3390/atmos13010026

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